Codacy automates code reviews and monitors code quality on every commit and pull request reporting back the impact of every commit or pull request, issues concerning code style, best practices, security, and many others. It monitors changes in code coverage, code duplication and code complexity. Saving developers time in code reviews thus efficiently tackling technical debt. JavaScript, Java, Ruby, Scala, PHP, Python, CoffeeScript and CSS are currently supported. Codacy is static analysis without the hassle.
Based on our record, ReviewMeta.com seems to be a lot more popular than Codacy. While we know about 86 links to ReviewMeta.com, we've tracked only 4 mentions of Codacy. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I'd suggest using both FakeSpot and ReviewMeta together. In the end though, neither should be treated as perfect. They both can give skewed ratings on legitimately good products. It just helps give an idea of if you should be cautious and look into things more before purchasing. Source: about 1 year ago
I recommend https://reviewmeta.com if you want to see if the reviews are authentic or not. Source: about 1 year ago
This does a pretty good job of filtering out the crap - https://reviewmeta.com/. Source: about 1 year ago
This is only for amazon, but https://reviewmeta.com/ checks if reviews under a product are likely to be real or not. Source: about 1 year ago
I'll also double-check those Amazon reviews with a tool like Reviewmeta to see if they have a high number of suspicious or fake-sounding ratings or comments. Source: over 1 year ago
I'm trying to use Codacy to review my code. One of the issues is regarding the use of the "setcookie" function. Source: over 2 years ago
Does anyone have an example on how to get this conversion done on github actions where I can convert the *.coverage file into a *.xml file for uploading to codacy.com. Source: almost 3 years ago
Online analysisFinally, if you want a simple way to analyze your code without having to manually configure everything locally, you can use an online code review service such as Codacy (shameless plug here). We already integrate some of the mentioned detection tools in this article and we are working every day to improve the service. The other main benefit of using automated code review tools is to allow you to... - Source: dev.to / about 3 years ago
Because you care and because you always want to be better, automation is a great way to optimize your review workflow process. Go ahead and do a quick search on Google for automated code reviews and see who better fits your workflow. You'll find Codacy on your Google search and we hope you like what we do. - Source: dev.to / over 3 years ago
Fakespot - Fakespot spots, analyzes and identifies fake reviews - helping you out when buying stuff online
SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.
Feedback Whiz - Feedback Whiz is a useful platform providing the best-in-class seller tools that allows you to automatically monitor all critical events on product listings on the Amazon platform.
CodeClimate - Code Climate provides automated code review for your apps, letting you fix quality and security issues before they hit production. We check every commit, branch and pull request for changes in quality and potential vulnerabilities.
TheReviewIndex - An Amazon review summarizer using neural networks
CodeFactor.io - Automated Code Review for GitHub & BitBucket